From ea0091e30dcb5e92413c5178cf0cb686762d9b13 Mon Sep 17 00:00:00 2001
From: onyx-and-iris <code@onyxandiris.online>
Date: Mon, 15 Jan 2024 22:11:02 +0000
Subject: [PATCH] add travel

---
 chapter11/travel.py | 66 +++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 66 insertions(+)
 create mode 100644 chapter11/travel.py

diff --git a/chapter11/travel.py b/chapter11/travel.py
new file mode 100644
index 0000000..f71f6e5
--- /dev/null
+++ b/chapter11/travel.py
@@ -0,0 +1,66 @@
+import logging
+from dataclasses import dataclass
+
+from tabulate import tabulate
+
+logging.basicConfig(
+    level=logging.DEBUG,
+    format="%(asctime)s %(levelname)s\n\r%(message)s",
+    datefmt="%H:%M:%S",
+)
+logger = logging.getLogger(__name__)
+
+
+@dataclass
+class Location:
+    name: str
+    time: int
+    rating: int
+
+
+def dynamic(items, n):
+    # create table and zero fill it (required for calculations)
+    table = [[0 for _ in range(2 * (W + 1) - 1)] for _ in range(n + 1)]
+
+    # calculate all possible max values for items in knapsack
+    for i in range(1, n + 1):
+        for w in range(1, 2 * (W + 1) - 1):
+            if items[i - 1].time <= w:
+                table[i][w] = max(
+                    items[i - 1].rating + table[i - 1][w - items[i - 1].time],
+                    table[i - 1][w],
+                )
+            else:
+                table[i][w] = table[i - 1][w]
+
+    format_and_print(table)
+
+    return table[-1][-1]
+
+
+def format_and_print(table):
+    # enumerate first row (headings) + label each row in column0
+    for i, row in enumerate(table):
+        if i == 0:
+            continue
+        row[0] = locations[i - 1].name
+    table[0] = [i / 2 for i in range(2 * (W + 1) - 1)]
+    table[0][0] = None
+
+    # print tabularised 2D array
+    logger.info([item.name for item in locations])
+    logger.info(tabulate(table, tablefmt="pretty"))
+
+
+# values converted to integers
+locations = [
+    Location("Westminster Abbey", 1, 7),
+    Location("Globe Theater", 1, 6),
+    Location("National Gallery", 2, 9),
+    Location("British Museum", 4, 9),
+    Location("St. Pauls Cathedral", 1, 8),
+]
+W = 2
+greatest_value = dynamic(locations, len(locations))
+
+print(f"Greatest value: {greatest_value}")